How TravClan Improved Booking Revenues with Vervotech’s Profit Maximizer
In the B2B hotel API space, winning bookings and protecting margins are two goals that pull in opposite directions. For TravClan, a B2B travel tech company serving travel agents, OTAs, and global travel organizations through its hotel API platform Volt, this tension was costing real revenue. TravClan had spent nearly two years conceptualizing a solution to an industry-wide problem: hotel rates fluctuate between booking and check-in, and companies that can systematically rebook at lower rates gain a structural margin advantage. This case study explores how TravClan partnered with Vervotech to automate that process and what changed when they did. Enter your email to read the case study! Challenges our client faced: Declining hotel margins in a hyper-competitive API market Manual rebooking capped at 4–5 transactions per day Operational risk of errors on high-value bookings Currency conversion inaccuracies eroding profit calculations Value delivered by Vervotech 1% improvement in hotel margins since implementation Full elimination of the manual rebooking process Multi-currency account structure for accurate profit tracking Dedicated customer success support with loss-coverage assurance Download this case study to find out: Why TravClan considered automated rebooking fundamental to their revenue strategy. How TravClan went from 4–5 manual rebookings per day to a fully automated, scalable system. The specific Profit Maximizer features that had the biggest impact on TravClan’s margins. How an existing relationship with Vervotech made the transition faster and more collaborative. The role of Vervotech’s customer success team in giving TravClan the confidence to experiment and grow.
